与有毒表皮解相关的潜在药物:基于FAERS数据库 (2004-2024) 的不成比例分析
Xiaojian Li1, Zhangren Yan1, Shiyu Chen1
1Clinical Medical College, Jiangxi University of Chinese Medicine, Nanchang, 330004, China.
Archives of dermatological research
|March 29, 2025
概括
鉴定有毒表皮解 (TEN) 的高风险药物,严重的皮肤反应,对于患者的安全至关重要. 这项研究强调了与TEN风险增加相关的特定药物和年龄组.
科学领域:
- 药物监督 药物监督 药物监督
- 皮肤病学 皮肤病学
- 药品安全 药品安全
背景情况:
- 毒性表皮解 (TEN) 是一种严重的,可能致命的皮肤药物不良反应.
- 识别致病原体对于预防TEN和改善患者的治疗结果至关重要.
- 目前对TEN高风险药物的理解需要不断更新.
研究的目的:
- 使用大型不良事件报告数据库识别与TEN相关的药物.
- 探索药物诱导的TEN的风险因素,包括患者人口统计和特定药物类别.
- 为提高临床药物安全性和个性化治疗策略提供证据.
主要方法:
- 利用FAERS数据库 (2004年第一季度 - 2024年第三季度) 进行与毒品有关的TEN报告.
- 员工报告信号检测的概率比率 (ROR).
- 应用单变量分析,LASSO回归和多变量逻辑回归用于风险因子识别,与邦费罗尼校正.
主要成果:
- 确定了218种与TEN相关的药物,其中抗生素和抗药物是突出的类别.
- 多变量分析表明特定的药物 (例如,拉莫特里金,芬伊托因,西普罗夫洛克萨) 和37-66岁的年龄组是潜在的风险因素.
- 发现了TEN与抗药 (26/218),抗生素 (54/218),NSAIDs (12/218),抗新生素 (3/218) 和免疫调节剂 (8/218) 之间的关联.
结论:
- 特定的药物和患者年龄是药物诱导TEN的潜在风险因素.
- 这些发现有助于临床医生在TEN早期识别,并为未来的药物安全评估提供信息.
- 承认不成比例性分析的局限性,强调需要因果关系研究.
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